NVIDIA Corporation

NASDAQ: NVDA Share price (03/13/26): $184.77 Industry: Semiconductors & Related Devices

Financials

Type	Title	Date	Extracts
10-K	FY2026 ended 01/25/26	02/25/26	PR	IS	BS	CFS
10-Q	Q3 ended 10/26/25	11/19/25	PR	IS	BS	CFS
10-Q	Q2 ended 07/27/25	08/27/25	PR	IS	BS	CFS
10-Q	Q1 ended 04/27/25	05/28/25	PR	IS	BS	CFS
10-K	FY2025 ended 01/26/25	02/26/25	PR	IS	BS	CFS
10-Q	Q3 ended 10/27/24	11/20/24	PR	IS	BS	CFS
10-Q	Q2 ended 07/28/24	08/28/24	PR	IS	BS	CFS
10-Q	Q1 ended 04/28/24	05/29/24	PR	IS	BS	CFS
10-K	FY2024 ended 01/28/24	02/21/24	PR	IS	BS	CFS
10-Q	Q3 ended 10/29/23	11/21/23	PR	IS	BS	CFS

Transcripts and slides

Title	Links		Date
Presents at Morgan Stanley Technology, Media & Telecom Conference 2026, Mar-04-2026 10:00 AM	Transcript		03/04/26
Earnings Call Q4 FY2026	Transcript	Slides	02/25/26
Presents at Second Annual AI Summit, Feb-03-2026 07:30 PM	Transcript		02/04/26
Presents at 44th Annual J.P. Morgan Healthcare Conference, Jan-12-2026 05:15 PM	Transcript	Slides	01/13/26
Presents at UBS Global Technology and AI Conference 2025, Dec-02-2025 07:35 AM	Transcript		12/02/25
Earnings Call Q3 FY2026	Transcript	Slides	11/19/25
NVDA Non-Deal Roadshow Presentation		Slides	10/06/25
NVDA Company Presentation		Slides	08/28/25
Earnings Call Q2 FY2026	Transcript		08/27/25
NVDA AGM 2025		Slides	06/25/25

Ownership

Type	Title	Date
144	Dabiri John	03/13/26
4	Statement of Changes in Beneficial Ownership	03/11/26
4	Shoquist Debora	03/11/26
4	Statement of Changes in Beneficial Ownership	03/11/26
4	Statement of Changes in Beneficial Ownership	03/11/26
144	Puri Ajay K	03/10/26
4	Shoquist Debora	03/04/26
4	Puri Ajay K	03/04/26
4	Kress Colette	03/04/26
4	Huang Jen Hsun	03/04/26

Other

Type	Title	Date
UPLOAD	Letter from the SEC	09/10/25
CORRESP	Correspondence with the SEC	07/31/25
UPLOAD	Letter from the SEC	07/22/25
SD	Conflict Minerals disclosure	06/02/25
ARS	Annual report to security holders	05/13/25
SD	Conflict Minerals disclosure	05/23/24
ARS	Annual report to security holders	05/14/24
UPLOAD	Letter from the SEC	07/03/23
CORRESP	Correspondence with the SEC	06/29/23
UPLOAD	Letter from the SEC	06/15/23

News

Type	Title	Date
8-K	Material Contracts	03/06/26
8-K	Nvidia Announces Financial Results for Fourth Quarter and Fiscal 2026	02/25/26
8-K	Change in Directors or Compensation	01/23/26
8-K	Nvidia Announces Financial Results for Third Quarter Fiscal 2026	11/19/25
8-K	Nvidia Announces Financial Results for Second Quarter Fiscal 2026	08/27/25
8-K	Change in Directors or Compensation	08/05/25
8-K	Voting Matters	07/01/25
8-K	Nvidia Announces Financial Results for First Quarter Fiscal 2026	05/28/25
8-K	Other Events	04/15/25
8-K	Material Contracts	03/07/25

Prospectuses and Registrations

Type	Title	Date
S-3ASR	Automatic shelf registration	05/28/25
S-3/A	Shelf registration - amended	05/26/23
S-3	Shelf registration	02/28/23
S-8	Registration of securities for employees	08/31/22
S-8	Registration of securities for employees	08/25/21
424B5	Prospectus supplement for primary offering	06/15/21
424B5	Prospectus supplement for primary offering	06/14/21
FWP	Free writing prospectus	06/14/21
S-8	Registration of securities for employees	10/20/20
S-8	Registration of securities for employees	06/15/20

Proxies

Type	Title	Date
N-PX	Annual report of proxy voting record	08/29/25
PX14A6G	Letter to shareholders (TRILLIUM ASSET MANAGEMENT, LLC)	05/21/25
DEFA14A	Definitive additional materials	05/13/25
DEF 14A	Definitive proxy statement	05/13/25
PRE 14A	Preliminary proxy statement	05/01/25
DEFA14A	Definitive additional materials	05/14/24
DEF 14A	Definitive proxy statement	05/14/24
DEFA14A	Definitive additional materials	05/08/23
DEF 14A	Definitive proxy statement	05/08/23
DEFA14A	Definitive additional materials	04/20/22

Non-Ownership

Type	Title	Filed
8-K	Material Contracts	03/06/26
8-K	Nvidia Announces Financial Results for Fourth Quarter and Fiscal 2026	02/25/26
10-K	FY2026 ended 01/25/26	02/25/26
8-K	Change in Directors or Compensation	01/23/26
8-K	Nvidia Announces Financial Results for Third Quarter Fiscal 2026	11/19/25
10-Q	Q3 ended 10/26/25	11/19/25
UPLOAD	Letter from the SEC	09/10/25
N-PX	Annual report of proxy voting record	08/29/25
8-K	Nvidia Announces Financial Results for Second Quarter Fiscal 2026	08/27/25
10-Q	Q2 ended 07/27/25	08/27/25
8-K	Change in Directors or Compensation	08/05/25
CORRESP	Correspondence with the SEC	07/31/25
UPLOAD	Letter from the SEC	07/22/25
8-K	Voting Matters	07/01/25
SD	Conflict Minerals disclosure	06/02/25
S-3ASR	Automatic shelf registration	05/28/25
8-K	Nvidia Announces Financial Results for First Quarter Fiscal 2026	05/28/25
10-Q	Q1 ended 04/27/25	05/28/25
PX14A6G	Letter to shareholders (TRILLIUM ASSET MANAGEMENT, LLC)	05/21/25
DEFA14A	Definitive additional materials	05/13/25

Ownership

Type	Title	Filed
144	Dabiri John	03/13/26
4	Statement of Changes in Beneficial Ownership	03/11/26
4	Statement of Changes in Beneficial Ownership	03/11/26
4	Statement of Changes in Beneficial Ownership	03/11/26
4	Shoquist Debora	03/11/26
144	Puri Ajay K	03/10/26
4	Kress Colette	03/04/26
4	Teter Timothy S.	03/04/26
4	Huang Jen Hsun	03/04/26
4	Puri Ajay K	03/04/26
4	Shoquist Debora	03/04/26
13F-HR	Quarterly Holdings Report	02/17/26
4	Kress Colette	02/06/26
SCHEDULE 13G/A	Vanguard Group Inc	01/30/26
3	Coreweave, Inc.	01/26/26
SCHEDULE 13G/A	Coreweave, Inc.	01/26/26
4	Puri Ajay K	01/23/26
4	Drell Persis	01/23/26
144	Puri Ajay K	01/21/26
4	Kress Colette	01/15/26

Title	Links		Date
Presents at Morgan Stanley Technology, Media & Telecom Conference 2026, Mar-04-2026 10:00 AM	Transcript		03/04/26
Earnings Call Q4 FY2026	Transcript	Slides	02/25/26
Presents at Second Annual AI Summit, Feb-03-2026 07:30 PM	Transcript		02/04/26
Presents at 44th Annual J.P. Morgan Healthcare Conference, Jan-12-2026 05:15 PM	Transcript	Slides	01/13/26
Presents at UBS Global Technology and AI Conference 2025, Dec-02-2025 07:35 AM	Transcript		12/02/25
Earnings Call Q3 FY2026	Transcript	Slides	11/19/25
NVDA Non-Deal Roadshow Presentation		Slides	10/06/25
NVDA Company Presentation		Slides	08/28/25
Earnings Call Q2 FY2026	Transcript		08/27/25
NVDA AGM 2025		Slides	06/25/25

Business

Our Company

NVIDIA pioneered accelerated computing to help solve the most challenging computational problems. NVIDIA is now a data center scale AI infrastructure company reshaping all industries.

Our technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits, or SDKs, and application programming interfaces, or APIs. This deep and broad software stack accelerates the performance and facilitates the deployment of NVIDIA accelerated computing for computationally intensive workloads such as artificial intelligence, or AI, model training and inference, data analytics, scientific computing, robotics, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing.

Introduced with the Blackwell architecture, our data-center-scale offerings feature extreme co-design where the infrastructure’s chips, networking, systems, software, and algorithms are holistically architected and optimized to maximize performance and scale. Hundreds of thousands of GPUs can be interconnected to function as a single giant computer. This type of data center architecture and scale is needed for the development and deployment of modern AI and accelerated computing applications.

The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of language, science, and the physical world. Its parallel processing capabilities, supported by tens of thousands of computing cores, are essential for deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots, and self-driving cars that can perceive, understand and reason about the world. GPU-powered AI solutions are being developed by thousands of enterprises to deliver services and products that would have been immensely difficult or even impossible with traditional coding. Examples include generative AI, which can create new content such as text, code, images, audio, video, molecule structures, and recommendation systems; and agentic AI where systems of AI models work in concert to automatically complete a task.

NVIDIA has a platform strategy, bringing together hardware, systems, software, algorithms, libraries, AI models and training data sets, and services to create unique value for the markets we serve. While the computing requirements of these end markets are diverse, we address them with a unified underlying programmable architecture allowing us to support several multi-billion-dollar end markets with the same underlying technology by using a variety of software stacks developed either internally or by third-party developers and partners. The large and growing number of developers and installed base across our platforms strengthens our ecosystem and increases the value of our platform for our customers.

Innovation is at our core. We have invested over $76.7 billion in research and development since our inception, yielding inventions that are essential to modern computing. Our invention of the GPU in 1999 sparked the growth of the PC gaming market and redefined computer graphics. With our introduction of CUDA in 2006, we opened the parallel processing capabilities of our GPU to a broad range of compute-intensive applications, paving the way for the emergence of modern AI. In 2012, the AlexNet neural network, trained on NVIDIA GPUs, won the ImageNet computer image recognition competition, marking the “Big Bang” moment of AI. We introduced our first Tensor Core GPU in 2017, built from the ground-up for the new era of AI, and our first autonomous driving system-on-chips, or SoC, in 2018. Our acquisition of Mellanox in 2020 expanded our offerings to include networking, enabled our platforms to be data center scale, and led to the introduction of a new processor class – the data processing unit, or DPU. Over the past 5 years, we have built full software stacks that run on top of our GPUs and CUDA to bring AI to the world’s largest industries, including NVIDIA DRIVE stack for autonomous driving, Clara for healthcare, Omniverse for physical AI applications, and NVIDIA AI Enterprise software – essentially an operating system for enterprise AI applications. In 2023, we introduced our first data center CPU, Grace, built for giant-scale AI and high-performance computing, or HPC. In 2024, we launched the NVIDIA Blackwell architecture – connecting 36 Grace CPUs and 72 Blackwell GPUs in a data center scale, liquid-cooled design – for real-time trillion-parameter inference and training. In fiscal year 2026, we launched and scaled the NVIDIA Blackwell Ultra platform, optimized for agentic, reasoning, and physical AI. Building on the architectural breakthroughs of Blackwell and leveraging Dynamo inference software, it delivers a significant increase in token throughput and reduction in cost per token compared to the Hopper generation. More recently, in support of market development, we have accelerated the release cadence of our open AI model platforms including NVIDIA Nemotron for agentic AI and Cosmos for physical AI. With a strong engineering culture, we drive fast, yet harmonized, product and technology innovations in all dimensions of computing including silicon, systems, networking, software and algorithms. More than half of our engineers work on software.

All major cloud service providers, or CSPs, AI model makers, and enterprises use our data center-scale infrastructure and computing platforms to accelerate the services and offerings they deliver to billions of end users and customers, including AI solutions and assistants, AI foundation models, advertising, search, recommendation systems, social

networking, data processing, online shopping, live video, and translation. AI model makers use our infrastructure and software hosted at CSPs to develop, build and run AI models, product offerings, and services.

Enterprises and startups across a broad range of industries use our accelerated computing platforms to build new generative and agentic AI-enabled products and services, and/or to dramatically accelerate and reduce the costs of their workloads and workflows. The enterprise software industry uses them for new AI assistants, chatbots, and agents; the transportation industry for autonomous driving; the healthcare industry for accelerated and computer-aided drug discovery; and the financial services industry for customer support and fraud detection.

Researchers and developers use our computing solutions to accelerate a wide range of important applications, from simulating molecular dynamics to climate forecasting. With support for 6,000 applications, NVIDIA computing enables some of the most promising areas of discovery, from climate prediction to materials science and from wind tunnel simulation to genomics. Including GPUs and networking, NVIDIA powers over 78% of the supercomputers on the global TOP500 list, including 9 of the top 10 systems on the Green500 list.

Gamers choose NVIDIA GPUs to enjoy immersive, increasingly cinematic virtual worlds. In addition to serving the growing number of gamers, the market for PC GPUs is expanding because of the growing population of live streamers, broadcasters, artists, and creators. With the advent of generative and agentic AI, we expect a broader set of PC users to choose NVIDIA GPUs for running these applications locally on their PC, which is critical for privacy, latency, and cost-sensitive AI applications.

Professional artists, architects and designers use NVIDIA partner products accelerated with our GPUs and software platform for a range of creative, engineering, and design use cases, such as creating visual effects in movies or designing buildings and products. In addition, generative and agentic AI is expanding the market for our workstation-class GPUs, as more enterprise customers develop and deploy AI applications with their data on-premises.

Headquartered in Santa Clara, California, NVIDIA was incorporated in California in April 1993 and reincorporated in Delaware in April 1998.

Our Businesses

We report our business results in two segments.

The Compute & Networking segment includes our Data Center accelerated computing and networking platforms and AI solutions and software, and Automotive platforms and autonomous and electric vehicle solutions including software.

The Graphics segment includes GeForce GPUs for gaming and PCs, and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics.

Our Markets

We specialize in markets where our computing and AI infrastructure platforms can provide tremendous acceleration for applications. These platforms incorporate processors, interconnects, software, algorithms, systems, and services to deliver unique value. Our platforms address four large markets where our expertise is critical: Data Center, Gaming, Professional Visualization, and Automotive.

Data Center

The NVIDIA Data Center platform is focused on accelerating compute-intensive workloads, such as AI, data processing, graphics, robotics, and scientific computing, delivering superior total cost of ownership relative to conventional CPU-only approaches. It is deployed in cloud, hyperscale, on-premises and edge data centers. The platform consists of data center compute and networking infrastructure offerings typically delivered to customers as rack-scale systems, subsystems, or modules, along with software and services.

Our Data Center infrastructure systems include supercomputing platforms and servers, bringing together our higher performance, energy efficient GPUs, CPUs, interconnects, and fully optimized AI and HPC software stacks. In addition, they include a growing body of acceleration libraries, AI models and training data sets, APIs, SDKs, and domain-specific application frameworks.

Our networking offerings include NVLink interconnects and switches, end-to-end platforms for InfiniBand and Ethernet, consisting of network adapters, cables, DPUs, switch chips and systems, as well as software. This has enabled us to architect data center-scale computing platforms that can interconnect up to hundreds of thousands of compute nodes with high-performance networking. Fueled by an expansion in AI and HPC workloads, the data center has become the new unit of computing, with networking as an integral part. In fiscal year 2026, we introduced NVIDIA NVLink Fusion to enable hyperscalers and custom ASIC designers to integrate custom CPUs and XPUs with our platform.

Our customers include all major public and private cloud providers, AI model makers, enterprises and startups, and public sector entities. We work with industry leaders to help build or transform their applications and data center infrastructure. Some of our direct customers include original equipment manufacturers, or OEMs, original device manufacturers, or

ODMs, system integrators and distributors which we partner with to help bring our products to market. We also have partnerships in automotive, healthcare, financial services, manufacturing, retail, and technology among others, to accelerate the adoption of AI.

At the foundation of the NVIDIA accelerated computing platform are our GPUs, which excel at parallel workloads such as the training and inferencing of neural networks. These Data Center systems are extreme co-designed with the GPU, CPU, NVLink switch, DPU, NIC, and scale-out networking along with software stacks and algorithms to deliver data center-scale computing solutions.

While our approach starts with powerful chips, what makes it a full-stack computing platform is our large body of software, including the CUDA development platform, the CUDA-X collection of acceleration libraries, AI models and training data sets, APIs, SDKs, and domain-specific application frameworks.

In addition to software delivered to customers as an integral part of our data center computing and networking platform, we offer paid licenses to NVIDIA AI Enterprise, a comprehensive suite of enterprise-grade AI software and NVIDIA vGPU software for graphics-rich virtual desktops and workstations.

In fiscal year 2025, we launched the NVIDIA Blackwell architecture, a full set of data center scale infrastructure that includes GPUs, CPUs, DPUs, interconnects, switch chips and systems, and networking adapters. Blackwell excels at processing cutting edge generative AI and accelerated computing workloads with market leading performance and efficiency. Offered in a number of configurations, for customers across industries and a diverse set of AI and accelerated computing use cases. In fiscal year 2026, we unveiled the NVIDIA Rubin platform, which is expected to commence production shipments in the second half of fiscal year 2027. Built for agentic AI and reasoning, it excels at processing multi-step problem-solving and massive long-context workflows, delivering up to a 10x reduction in cost per token compared to Blackwell.

For physical AI, we provide an end-to-end platform spanning data center infrastructure, open models, systems, embedded compute modules, and software stacks to train, simulate, and deploy advanced automation and robotics solutions.

Gaming

Gaming is the largest entertainment industry, with PC gaming as the predominant platform. Many factors propel its growth, including new high production value games, the continued rise of eSports, social connectivity and the increasing popularity of game streamers, modders, or gamers who remaster games, and creators.

Our products for the gaming market include GeForce RTX GPUs for gaming desktop and laptop PCs, GeForce NOW cloud gaming service, as well as SoCs and development services for game consoles.

Our gaming platforms leverage our GPUs and sophisticated software to enhance the gaming experience with smoother, higher quality graphics. NVIDIA RTX features ray tracing technology for real-time, cinematic-quality rendering, and deep learning super sampling, or NVIDIA DLSS, our AI technology that boosts frame rates while generating high-quality images for games. RTX GPUs also feature NVIDIA tensor core technology making them well suited to accelerate a new generation of on-device AI applications.

In fiscal year 2025, we announced the NVIDIA Blackwell GeForce RTX 50 Series family of desktop and laptop GPUs. The Blackwell architecture introduced neural graphics which combines AI models with traditional rendering to boost game performance, image quality, and interactivity, as well as the next generation of our DLSS technology powered by a new transformer model architecture. In fiscal year 2026, we launched and scaled Blackwell architecture for gaming and GeForce NOW.

Professional Visualization

We serve the Professional Visualization market by working closely with independent software vendors, or ISVs, to optimize their offerings for NVIDIA GPUs. Our GPU computing platform enhances productivity and introduces new capabilities for critical workflows in many fields, such as design, engineering, and digital content creation across a wide range of industry verticals. Additionally, the increasing number of generative and agentic AI applications is giving rise to the need for the enhanced AI and data processing capabilities of our RTX PRO GPUs.

Many leading 3D design and content creation applications developed by our ecosystem partners support RTX, allowing professionals to accelerate and transform their workflows with NVIDIA RTX PRO GPUs and software. As these applications increasingly integrate AI, these GPUs are used and leverage the same Tensor Core technology found in our Data Center solutions.

Automotive

Automotive is comprised of platform solutions for automated driving from the cloud to the car. Leveraging our technology leadership in AI and building on long-standing relationships across several hundred automotive ecosystem partners, we are delivering a full stack end-to-end solution for the AV market under the DRIVE Hyperion platform. This platform consists of development infrastructure, high-performance, energy efficient DRIVE AGX computing hardware

running an in-vehicle operating system (DRIVE OS), a reference sensor set that supports full self-driving capability as well as an open, modular DRIVE software platform for autonomous driving, mapping, and parking services, and intelligent in-vehicle experiences.

Business Strategies

NVIDIA’s key strategies that shape our overall business approach include:

Advancing the NVIDIA accelerated computing platform. Our accelerated computing platform can solve complex problems in significantly less time and with lower power consumption than alternative computational approaches. It can help solve problems that were previously deemed unsolvable. We work to deliver continued performance leaps that outpace Moore’s Law by leveraging innovation across the architecture, chip design, system, interconnect, algorithm, and software layers. This full-stack innovation approach allows us to deliver order-of-magnitude performance advantages relative to legacy approaches in our target markets, which include Data Center, Gaming, Professional Visualization, and Automotive. While the computing requirements of these end markets are diverse, we address them with a unified underlying architecture leveraging our GPUs, CPUs, CUDA and networking technologies as the fundamental building blocks. The programmable nature of our architecture allows us to make leveraged investments in research and development: we can support several multi-billion-dollar end markets with shared underlying technology by using a variety of software stacks developed either internally or by third-party developers and partners. We utilize this platform approach in each of our target markets.

Extending our technology and platform leadership in AI. We provide a complete, end-to-end accelerated computing platform for AI, addressing both training and inferencing. This includes full-stack data center-scale compute and networking solutions across processing units, interconnects, systems, and software. Our compute solutions include all three major processing units in AI servers – GPUs, CPUs, and DPUs. GPUs are uniquely suited to AI, and we will continue to add AI-specific features to our GPU architecture to further extend our leadership position.

In addition, we offer NVIDIA AI Enterprise—a comprehensive software suite designed to simplify the development and deployment of production-grade, end-to-end generative AI applications. NVIDIA AI Enterprise includes: NVIDIA NIM, which increases token throughput using industry-leading open and proprietary models; NVIDIA NeMo, a complete solution for curating, fine-tuning, reinforcement learning, evaluating, and safeguarding domain-adapted models; and AI Blueprints, pre-built, runnable templates that help enterprises build, optimize, and deploy AI agents while preserving privacy. These tools enable organizations to securely develop and run AI applications on NVIDIA-accelerated infrastructure anywhere.

Our AI technology leadership is reinforced by our large and expanding ecosystem. Our computing platforms are available from virtually every major server maker and CSP, as well as on our own AI supercomputers. There are over 7.5 million developers worldwide using CUDA and our other software tools to help deploy our technology in our target markets. We are the leader in accelerating and releasing open AI models which enterprises, sovereigns, and startups can leverage to develop and run applications on our platform. We evangelize AI through partnerships with hundreds of universities and tens of thousands of startups through our Inception program. Additionally, our Deep Learning Institute provides instruction on the latest techniques on how to design, train, and deploy neural networks in applications using our accelerated computing platform.

Extending our technology and platform leadership in computer graphics. We believe that computer graphics infused with AI is fundamental to the continued expansion and evolution of computing. We apply our research and development resources to enhance the user experience for consumer entertainment and professional visualization applications and create new virtual world and simulation capabilities. Our technologies are instrumental in driving the gaming, design, and creative industries forward, as developers leverage our libraries and algorithms to deliver an optimized experience on our GeForce and NVIDIA RTX platforms. Our computer graphics platforms leverage AI end-to-end, from the developer tools and cloud services to the Tensor Cores included in all RTX-class GPUs. Blackwell GPUs’ advanced AI and neural rendering capabilities combined with NVIDIA’s world-class AI software stacks significantly accelerate AI workloads running locally on PCs. Omniverse is real-time 3D design collaboration and virtual world simulation software that empowers artists, designers, and creators to connect and collaborate in leading design applications.

Advancing the leading autonomous vehicle platform. We believe the advent of autonomous vehicles, or AV, and electric vehicles, or EV, is revolutionizing the transportation industry. The algorithms required for autonomous driving - such as reasoning, perception, localization, and planning - are too complex for legacy hand-coded approaches and will use multiple neural networks instead. Therefore, we provide an AI-based hardware and software solution, designed and implemented from the ground up based on automotive safety standards, for the AV and EV market under the DRIVE brand, which we are bringing to market through our partnerships across the transportation industry including with automotive OEMs, mobility service providers, robotaxis, tier-1 suppliers, and start-ups. Our AV solution also includes the GPU-based hardware required to train the neural networks before their in-vehicle deployment, as well as to re-simulate their operation prior to any over-the-air software updates. We believe our comprehensive, top-to-bottom and end-to-end approach will enable the transportation industry to solve the complex problems arising from the shift to autonomous driving.

Leveraging our intellectual property, or IP. We believe our IP is a valuable asset that can be accessed by our customers and partners through license and development agreements when they desire to build such capabilities directly into their own products or have us do so through a custom development. Such license and development arrangements can further enhance the reach of our technology.

Sales and Marketing

Our worldwide sales and marketing strategy is key to achieving our objective of providing markets with our high-performance and efficient computing platforms and software. Our sales and marketing teams, located across our global markets, work closely with customers and various industry ecosystems through our partner network. Our partner network incorporates global, regional and specialized CSPs, OEMs, ODMs, ISVs, global system integrators, add-in board manufacturers, or AIBs, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants.

Members of our sales team have technical expertise and product and industry knowledge. We also employ a team of application engineers and solution architects to provide pre-sales assistance to our partner network in designing, testing, and qualifying system designs that incorporate our platforms. For example, our solution architects work with CSPs to provide pre-sales assistance to enable our customers to optimize their hardware and software infrastructure for generative and agentic AI and LLM training and deployment. They also work with foundation model and enterprise software developers to enable our customers to optimize the training and fine-tuning of their models and services, and with enterprise end-users, often in collaboration with their global system integrator of choice, to fine-tune models and build AI applications. We believe that the depth and quality of our design support are key to improving our partner network’s time-to-market, maintaining a high level of customer satisfaction, and fostering relationships that encourage our customers and partner network to use the next generation of our products within each platform.

To encourage the development of applications optimized for our platforms and software, we seek to establish and maintain strong relationships in the software development community. Engineering and marketing personnel engage with key software developers to promote and discuss our platforms, as well as to ascertain individual product requirements and solve technical problems. Our developer program supports the development of AI frameworks, SDKs, and APIs for software applications and game titles that are optimized for our platforms. Our Deep Learning Institute provides in-person and online training for developers in industries and organizations around the world to build AI and accelerated computing applications that leverage our platforms.

Seasonality

Our computing platforms serve a diverse set of markets such as data centers, gaming, professional visualization, and automotive. Our desktop gaming products typically see stronger revenue in the second half of our fiscal year. Historical seasonality trends may not repeat.

Manufacturing

We utilize a fabless and contracting manufacturing strategy, whereby we employ and partner with key suppliers for all phases of the manufacturing process, including wafer fabrication, assembly, testing, and packaging. We use the expertise of industry-leading suppliers that are certified by the International Organization for Standardization in such areas as fabrication, assembly, quality control and assurance, reliability, and testing. Additionally, we can avoid many of the significant costs and risks associated with owning and operating manufacturing operations. While we may directly procure certain raw materials used in the production of our products, such as memory, substrates, and a variety of components, our suppliers are responsible for procurement of most raw materials used in the production of our products. As a result, we can focus our resources on product design, quality assurance, marketing, and customer support. In periods of growth, we may place non-cancellable inventory orders for certain product components in advance of our historical lead times, pay premiums, or provide deposits to secure future supply and capacity and may need to continue to do so.

We have expanded our supplier relationships to build redundancy and resilience in our operations to provide long-term manufacturing capacity aligned with growing customer demand. While currently our supply chain is mainly concentrated in Asia, we are expanding into the U.S. and Latin America. We utilize foundries, such as Taiwan Semiconductor Manufacturing Company Limited, or TSMC, and Samsung Electronics Co., Ltd., or Samsung, to produce our semiconductor wafers. We purchase memory from SK Hynix Inc., Micron Technology, Inc., and Samsung. We utilize CoWoS technology for semiconductor packaging. We engage with independent subcontractors and contract manufacturers such as Hon Hai Precision Industry Co., Ltd., Wistron Corporation, and Fabrinet to perform assembly, testing and packaging of our final products.

Competition

The market for our products is intensely competitive and is characterized by rapid technological change and evolving industry standards. We believe that the principal competitive factors in this market are performance, breadth of product offerings, access to customers and partners and distribution channels, software support, conformity to industry standard APIs, manufacturing capabilities, processor pricing, and total system costs. We believe that our ability to remain competitive will depend on how well we are able to anticipate the features and functions that customers and partners will

demand and whether we are able to deliver consistent volumes of our products at acceptable levels of quality and at competitive prices. We expect competition to increase from both existing competitors and new market entrants with products that may be lower priced than ours or may provide better performance or additional features not provided by our products. In addition, it is possible that new competitors or alliances among competitors could emerge and acquire significant market share.

A significant source of competition comes from companies that provide or intend to provide GPUs, CPUs, DPUs, embedded SoCs, and other accelerated, AI computing processor products, and providers of semiconductor-based high-performance interconnect products based on InfiniBand, Ethernet, Fibre Channel, and proprietary technologies. Some of our competitors may have greater marketing, financial, distribution and manufacturing resources than we do and may be more able to adapt to customers or technological changes. We expect an increasingly competitive environment in the future.

Our current competitors include:

•suppliers and licensors of hardware and software for discrete and integrated GPUs, custom chips and other accelerated computing solutions, including solutions offered for AI, such as Advanced Micro Devices, Inc., or AMD, Huawei Technologies Co. Ltd., or Huawei, and Intel Corporation, or Intel;

•large cloud services companies with internal teams designing hardware and software that incorporate accelerated or AI computing functionality as part of their internal solutions or platforms, such as Alibaba Group, Alphabet Inc., Amazon, Inc., or Amazon, Baidu, Inc., Huawei, and Microsoft Corporation, or Microsoft;

•suppliers of Arm-based CPUs and companies that incorporate hardware and software for CPUs as part of their internal solutions or platforms, such as Amazon, Huawei, and Microsoft;

•suppliers of hardware and software for SoC products that are used in servers or embedded into automobiles, autonomous machines, and gaming devices, such as Ambarella, Inc., AMD, Broadcom, Intel, Qualcomm Incorporated, Renesas Electronics Corporation, and Samsung, or companies with internal teams designing SoC products for their own products and services, such as Tesla, Inc.; and

•networking products consisting of switches, network adapters (including DPUs), and cable solutions (including optical modules) include such as AMD, Arista Networks, Broadcom, Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei, Intel, Lumentum Holdings Inc., and Marvell Technology, Inc, as well as internal teams of system vendors and large cloud services companies.

Patents and Proprietary Rights

We rely primarily on a combination of patents, trademarks, trade secrets, employee and third-party nondisclosure agreements, and licensing arrangements to protect our IP in the United States and internationally. Our currently issued patents have expiration dates from March 2026 to June 2045. We have numerous patents issued, allowed, and pending in the United States and in foreign jurisdictions. Our patents and pending patent applications primarily relate to our products and the technology used in connection with our products. We also rely on international treaties, organizations, and foreign laws to protect our IP. The laws of certain foreign countries in which our products are or may be manufactured or sold, including various countries in Asia, may not protect our products or IP rights to the same extent as the laws of the United States. This decreased protection makes the possibility of piracy of our technology and products more likely. We continuously assess whether and where to seek formal protection for innovations and technologies based on such factors as:

•the location in which our products are manufactured;

•our strategic technology or product directions in different countries;

•the degree to which IP laws exist and are meaningfully enforced in different jurisdictions; and

•the commercial significance of our operations and our competitors' operations in particular countries and regions.

We have licensed technology from third parties and expect to continue entering such license agreements.

Government Regulations

Our worldwide business activities are subject to various laws, rules, and regulations of the United States as well as of foreign governments.

Over the past three years, we have been subject to a series of shifting and expanding export control restrictions, impacting our ability to serve customers outside the United States.

In August 2022, the U.S. government, or USG, announced export restrictions and export licensing requirements targeting China’s semiconductor and supercomputing industries. These restrictions impacted exports of certain chips, as well as software, hardware, equipment and technology used to develop, produce and manufacture certain chips to China (including Hong Kong and Macau) and Russia, and specifically impact our A100 and H100 integrated circuits, DGX or any other systems or boards which incorporate A100 or H100 integrated circuits. In July 2023, the USG also informed us of an additional licensing requirement for a subset of A100 and H100 products destined to certain customers and other regions, including some countries in the Middle East.

In October 2023, the USG announced new and updated licensing requirements for exports to China and Country Groups D:1, D:4, and D:5 (including but not limited to Saudi Arabia, the United Arab Emirates, and Vietnam, but excluding Israel) of our products exceeding certain performance thresholds, including, but not limited to, the A100, A800, H100, H800, L4, L40, L40S RTX 4090, GB200 NVL72, and B200. The licensing requirements also apply to the export of products exceeding certain performance thresholds to a party headquartered in, or with an ultimate parent headquartered in, Country Group D5, including China.

In April 2025, the USG informed us that it requires a license for export to China (including Hong Kong and Macau) and D:5 countries, or to companies headquartered or with an ultimate parent therein, of our H20 integrated circuits and any other circuits achieving the H20’s memory bandwidth, interconnect bandwidth, or combination thereof. As a result of these requirements, we incurred a $4.5 billion charge in the first quarter of fiscal year 2026 associated with H20 for excess inventory and purchase obligations, as the demand for H20 products diminished.

In August 2025, the USG granted licenses that would allow us to ship certain H20 products to certain China-based customers. We generated approximately $60 million in H20 revenue under those licenses. USG officials expressed an expectation that the USG will receive 15% or more of the revenue generated from licensed sales of our products, but the USG did not publish a regulation codifying such requirement.

In February 2026, the USG granted a license that would allow us to ship small amounts of H200 products to specific China-based customers. To date, we have not generated any revenue under the H200 licensing program, and do not yet know whether any imports will be allowed into China. The license requires that the H200s go through an inspection process in the United States prior to any shipment to the customer. As a result, any H200 shipped under the new licensing program will be subject to a 25% tariff upon importation into the United States.

In the event that we are able to sell licensed products into the China market, we may not be able to pass along all or any of the tariff to our customers, and may be subject to litigation, increased costs, and a harmed competitive position.

The export controls applicable to China are complex and address a variety of parameters, including the total processing performance of a chip, the “performance density” of a chip, the interconnect bandwidth of a chip, and the memory bandwidth of a chip. Under the current rules and geopolitical landscape, we are unable to create and deliver a competitive product for China’s data center market that receives approval from both the USG and the Chinese government. As of the end of fiscal year 2026, we were effectively foreclosed from competing in China's data center computing/compute market, and our effective foreclosure from the China market helped our competitors build larger developer and customer ecosystems to challenge us worldwide. Unless we are able to return with a product that meets the approval of both the USG and the Chinese government, our lost opportunity and the benefit to our competitors will have a material and adverse impact on our business, operating results, and financial condition.

In addition to controls targeting D:1, D:4 and D:5 countries, the USG has also imposed worldwide export controls impacting our products, and may impose additional controls in the future.

In January 2025, the USG published the AI Diffusion IFR in the Federal Register. The IFR would have imposed a worldwide licensing requirement on our data center products, such as our H200, GB200 and GB300. The AI Diffusion IFR would have divided the world into three tiers, relegating most countries to “Tier 2” status, and would have created a complex and burdensome scheme for licensing approvals.

In May 2025, the USG announced that it would rescind the AI Diffusion IFR and implement a replacement rule. The scope, timing, and requirements of the forthcoming rule remain uncertain. The replacement rule may impose new restrictions on our products or operations and/or add license requirements that could have a material impact on our business, operating results, and financial condition. For example, in October 2025, the Senate passed the “GAIN AI Act” in the NDAA. The GAIN AI Act would restrict the Trump Administration’s ability to adapt the Biden Administration’s export control rules, and could also allow private U.S. persons to review and overturn licensing and foreign policy decisions made by the Trump Administration.

Our competitive position has been harmed by export controls, and our competitive position and future results will be further harmed, over the long term, if the restrictions remain in place or are expanded in geographic, customer, or product scope, if customers purchase product from competitors, if customers develop their own internal solution, if we are unable to provide contractual warranty or other extended service obligations, if the USG does not grant licenses in a timely manner or denies licenses to significant customers or if we incur significant transition costs.

The licensing process may not be resolved before significant business opportunities evaporate. Even if the USG grants any requested licenses, the licenses have already and may in the future be temporary, impose burdensome conditions regarding the installation, maintenance, and use of such products, or include financial or economic requirements that we or our customers or end users cannot or choose not to fulfill. The licensing requirements have already and may in the future benefit certain of our competitors, as the licensing process will make our pre-sale and post-sale technical support efforts more cumbersome and less certain and encourage customers in China, the Middle East, and other regions to pursue alternatives to our products, including semiconductor suppliers based in China, Europe, and Israel.

Additionally, restrictions imposed by the Chinese government on the duration of gaming activities and access to games may adversely affect our Gaming revenue, and even if we are able to participate in the China data center compute market, increased oversight of digital platform companies may adversely affect our Data Center revenue. The Chinese government has encouraged customers to purchase from our China-based competitors and discouraged customers from purchasing, importing, or using our data center products, including any China-specific product designed to comply with U.S. export controls.

While we work to enhance the resiliency and redundancy of our supply chain, which is currently concentrated in Asia, new and existing export controls or changes to existing export controls could limit alternative manufacturing locations and negatively impact our business.

Compliance with laws, rules, and regulations has not otherwise had a material effect upon our capital expenditures, results of operations, or competitive position and we do not currently anticipate material capital expenditures for environmental control facilities. Compliance with existing or future governmental regulations, including, but not limited to, those pertaining to IP ownership and infringement, taxes, import and export requirements and tariffs, anti-corruption, business acquisitions, foreign exchange controls and cash repatriation restrictions, data privacy requirements, competition and antitrust, advertising, employment, product regulations, cybersecurity, environmental, health and safety requirements, the responsible use of AI, climate change, cryptocurrency, and consumer laws, could further increase our costs, impact our competitive position, and otherwise may have a material adverse impact on our business, financial condition and results of operations in subsequent periods.

Human Capital Management

As of the end of fiscal year 2026, we had approximately 42,000 employees in 38 countries; 31,000 were engaged in research and development and 11,000 were engaged in sales, marketing, operations, and administrative positions.

To execute our business strategy successfully, we focus on recruiting, developing, and retaining top global talent.

Within our workforce, more than 80 percent have technical roles and more than half of the workforce hold an advanced degree. Our employees also help to surface top talent, with over 40 percent of our new hires in fiscal year 2026 coming from employee referrals. In fiscal year 2026, our turnover rate was 3.7 percent.

We invest in employee development through on-the-job trainings and tuition reimbursement programs.

Our compensation and benefits are designed to reward performance and align employee interests with those of our shareholders through equity participation and comprehensive health and financial wellness programs. We also utilize employee listening systems to gather feedback and maintain an inclusive culture where hiring and promotions are based on merit.

Information About Our Executive Officers

The following sets forth certain information regarding our executive officers, their ages, and positions as of February 20, 2026:

Name

Age

Position

Jen-Hsun Huang

President and Chief Executive Officer

Colette M. Kress

Executive Vice President and Chief Financial Officer

Ajay K. Puri

Executive Vice President, Worldwide Field Operations

Debora Shoquist

Executive Vice President, Operations

Timothy S. Teter

Executive Vice President and General Counsel

Jen-Hsun Huang co-founded NVIDIA in 1993 and has served as our President, Chief Executive Officer, and a member of the Board of Directors since our inception. From 1985 to 1993, Mr. Huang was employed at LSI Logic Corporation, a computer chip manufacturer, where he held a variety of positions including as Director of Coreware, the business unit responsible for LSI's SOC. From 1983 to 1985, Mr. Huang was a microprocessor designer for AMD, a semiconductor

company. Mr. Huang holds a B.S.E.E. degree from Oregon State University and an M.S.E.E. degree from Stanford University.

Colette M. Kress joined NVIDIA in 2013 as Executive Vice President and Chief Financial Officer. Prior to NVIDIA, Ms. Kress most recently served as Senior Vice President and Chief Financial Officer of the Business Technology and Operations Finance organization at Cisco Systems, Inc., a networking equipment company, since 2010. At Cisco, Ms. Kress was responsible for financial strategy, planning, reporting and business development for all business segments, engineering and operations. From 1997 to 2010 Ms. Kress held a variety of positions at Microsoft, a software company, including, beginning in 2006, Chief Financial Officer of the Server and Tools division, where Ms. Kress was responsible for financial strategy, planning, reporting and business development for the division. Prior to joining Microsoft, Ms. Kress spent eight years at Texas Instruments Incorporated, a semiconductor company, where she held a variety of finance positions. Ms. Kress holds a B.S. degree in Finance from University of Arizona and an M.B.A. degree from Southern Methodist University.

Ajay K. Puri joined NVIDIA in 2005 as Senior Vice President, Worldwide Sales and became Executive Vice President, Worldwide Field Operations in 2009. Prior to NVIDIA, he held positions in sales, marketing, and general management over a 22-year career at Sun Microsystems, Inc., a computing systems company. Mr. Puri previously held marketing, management consulting, and product development positions at Hewlett-Packard, an information technology company, Booz Allen Hamilton Inc., a management and technology consulting company, and Texas Instruments Incorporated. Mr. Puri holds a B.S.E.E. degree from the University of Minnesota, an M.S.E.E. degree from the California Institute of Technology and an M.B.A. degree from Harvard Business School.

Debora Shoquist joined NVIDIA in 2007 as Senior Vice President of Operations and in 2009 became Executive Vice President of Operations. Prior to NVIDIA, Ms. Shoquist served from 2004 to 2007 as Executive Vice President of Operations at JDS Uniphase Corp., a provider of communications test and measurement solutions and optical products for the telecommunications industry. She served from 2002 to 2004 as Senior Vice President and General Manager of the Electro-Optics business at Coherent, Inc., a manufacturer of commercial and scientific laser equipment. Previously, she worked at Quantum Corp., a data protection company, as President of the Personal Computer Hard Disk Drive Division, and at Hewlett-Packard. Ms. Shoquist holds a B.S. degree in Electrical Engineering from Kansas State University and a B.S. degree in Biology from Santa Clara University.

Timothy S. Teter joined NVIDIA in 2017 as Senior Vice President, General Counsel and Secretary and became Executive Vice President, General Counsel and Secretary in February 2018. Prior to NVIDIA, Mr. Teter spent more than two decades at the law firm of Cooley LLP, where he focused on litigating patent and technology related matters. Prior to attending law school, he worked as an engineer at Lockheed Missiles and Space Company, an aerospace company. Mr. Teter holds a B.S. degree in Mechanical Engineering from the University of California at Davis and a J.D. degree from Stanford Law School.

Available Information

Our annual reports on Form 10-K, quarterly reports on Form 10-Q, current reports on Form 8-K and, if applicable, amendments to those reports filed or furnished pursuant to Section 13(a) or 15(d) of the Securities Exchange Act of 1934, as amended, or the Exchange Act, are available free of charge on or through our website, http://www.nvidia.com, as soon as reasonably practicable after we electronically file such material with, or furnish it to, the Securities and Exchange Commission, or the SEC. The SEC’s website, http://www.sec.gov, contains reports, proxy and information statements, and other information regarding issuers that file electronically with the SEC. Our web site and the information on it or connected to it are not a part of this Annual Report on Form 10-K.

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52 week	high $212.19	low $86.62
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Share price [NVDA]	$184.77
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Enterprise value (incl. operating lease) ($m)	4,481,137.5
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Operating lease liability ($m)	2,944.0
Annual operating lease expense ($m)	462.0
Annual stock-based comp expense ($m)	6,386.0

Lease and SBC Data:
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Operating lease liability ($m)	2,944.0
Annual operating lease expense ($m)	462.0
Annual stock-based comp expense ($m)	6,386.0


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